BUS 308 Week 5 Quiz (3 Set)
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BUS 308 Week 5 Quiz (3 Set)

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  • BUS 308 N Week 5 Quiz Set 2.docx
  • BUS 308 N Week 5 Quiz Set 3.docx
  • BUS 308 N Week 5 Quiz.docx

BUS 308 Week 5 Quiz Question 1. Compared to the ANOVA test, Chi Square procedures are not powerful (able to detect small differences). Question 2. In confidence intervals, the width of the interval depends only on the variation within the data set. Question 3. The percent confidence interval is the range having the percent probability of containing the actual population parameter. Question 4. The Chi Square test can be performed on categorical (nominal) level data. Question 5. For a one sample confidence interval, the interval is calculated around the estimated population or standard. Question 6. The chi square test is very sensitive to small differences in frequency distributions. Question 7. The probability that the actual population mean will be outside of a 98% confidence interval is Question 8. A confidence interval is generally created when statistical tests fail to reject the null hypothesis – that is, when results are not statistically significant. Question 9. A contingency table is a multiple row and multiple column table showing counts in each cell. Question 10. For a one sample confidence interval, if the interval contains the population mean, the corresponding t-test will have a statistically significant result – rejecting the null hypothesis. BUS 308 Week 5 Quiz Set 2 Question 1. A contingency table is a multiple row and multiple column table showing counts in each cell. Question 2. The Chi Square test for independence needs a known (rather than calculated) expected frequency distribution. Question 3. For a two-sample confidence interval, the interval shows the difference between the means. Question 4. Statistical significance in the Chi Square test means the population distribution (expected) is not the source of the sample (observed) data. Question 5. The chi square test is very sensitive to small differences in frequency distributions. Question 6. The chi square test measures differences in frequency counts rather than measures differences (such as done in the t and ANOVA tests). Question 7. The Chi Square test can be performed on categorical (nominal) level data. Question 8. The degrees of freedom for both forms of the Chi Square test are calculated the same way. Question 9. In confidence intervals, the width of the interval depends only on the variation within the data set. Question 10. Compared to the ANOVA test, Chi Square procedures are not powerful (able to detect small differences). BUS 308 Week 5 Quiz Set 3 Question 1. For a one sample confidence interval, if the interval contains the population mean, the corresponding t-test will have a statistically significant result – rejecting the null hypothesis. Question 2. While rejecting the null hypothesis for the goodness of fit test indicates that distributions differ, rejecting the null for the test of independence means the variables interact. Question 3. A contingency table is a multiple row and multiple column table showing counts in each cell. Question 4. For a one sample confidence interval, the interval is calculated around the calculated sample mean. Question 5. Having expected frequencies of 5 or less in a Chi Square test can increase the likelihood of a type I error – wrongly rejecting the null hypothesis. Question 6. The degrees of freedom for the goodness of fit test equals Question 7. For a one sample confidence interval, the interval is calculated around the estimated population or standard. Question 8. The null hypothesis for the test of independence states that no correlation exists between the variables. Question 9. The chi square test is very sensitive to small differences in frequency distributions. Question 10. The chi square test measures differences in frequency counts rather than measures differences (such as done in the t and ANOVA tests).

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